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Letteratura scientifica selezionata sul tema "Power allocation techniques"

Autore: Grafiati
Pubblicato: 1 marzo 2025

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Articoli di riviste sul tema "Power allocation techniques"

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B., Sruthi. "A Review on Power Allocation Techniques in MIMO-NOMA 5G Systems". Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (31 marzo 2020): 1409–15. http://dx.doi.org/10.5373/jardcs/v12sp4/20201619.

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Feng, Zhao Hong, Tie Jun Jia, Xi Ming Xiao e Fu Jie Zhang. "Wind Power Allocation Based on Predictive Power Correction". Applied Mechanics and Materials 644-650 (settembre 2014): 3445–48. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3445.

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Wind power prediction techniques can be used in wind power scheduling control. Aim at the scheduling control deviation caused by the error between predicted power and actual power output, a Wind power scheduling optimization allocation algorithm based on predictive power correction is proposed, which adopts Auxiliary Particle Filter Algorithm to adjust the values of predicted wind power .Then the adjusted values are used in the proportional allocation according to the maximum power strategy ,and the superiority of this method will be verified by MATLAB simulation with the real wind farm operating data .
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Ali, Zuhura J., Nor K. Noordin, Aduwati Sali, Fazirulhisyam Hashim e Mohammed Balfaqih. "Novel Resource Allocation Techniques for Downlink Non-Orthogonal Multiple Access Systems". Applied Sciences 10, n. 17 (26 agosto 2020): 5892. http://dx.doi.org/10.3390/app10175892.

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Non-orthogonal multiple access (NOMA) plays an important role in achieving high capacity for fifth-generation (5G) networks. Efficient resource allocation is vital for NOMA system performance to maximize the sum rate and energy efficiency. In this context, this paper proposes optimal solutions for user pairing and power allocation to maximize the system sum rate and energy efficiency performance. We identify the power allocation problem as a nonconvex constrained problem for energy efficiency maximization. The closed-form solutions are derived using Karush–Kuhn–Tucker (KKT) conditions for maximizing the system sum rate and the Dinkelbach (DKL) algorithm for maximizing system energy efficiency. Moreover, the Hungarian (HNG) algorithm is utilized for pairing two users with different channel condition circumstances. The results show that with 20 users, the sum rate of the proposed NOMA with optimal power allocation using KKT conditions and HNG (NOMA-PKKT-HNG) is 6.7% higher than that of NOMA with difference of convex programming (NOMA-DC). The energy efficiency with optimal power allocation using DKL and HNG (NOMA-PDKL-HNG) is 66% higher than when using NOMA-DC.
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Narieda, Shusuke, Takeo Fujii e Kenta Umebayashi. "Energy Constrained Optimization for Spreading Factor Allocation in LoRaWAN". Sensors 20, n. 16 (7 agosto 2020): 4417. http://dx.doi.org/10.3390/s20164417.

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This paper discusses a spreading factor allocation for Long Range Wide Area Network (LoRaWAN). Because Long Range (LoRa) is based on chirp spread spectrum that each spreading factor is approximately orthogonal to each other, the performance of LoRaWAN can be enhanced by allocating the spreading factor appropriately to end devices (EDs). Several spreading factor allocation techniques have been reported. Techniques shown in existing studies can improve some characteristics (e.g. throughput or packet reception probability (PRP)); however, there are a few studies that have focused on the energy consumption of the EDs. The LoRa communication offers a low power communication and this enables the improvement of the performance in exchange for the energy consumption. This paper presents a performance improvement technique via spreading factor allocations for LoRaWAN. We define the optimization problem for the spreading factor allocation to maximize the PRP under a constraint for the average energy consumption of all the EDs. It enables for the performance improvement under the constraint of the average energy consumption of all the EDs by solving the problem. This study further develops a method to solve the defined problem based on a distributed genetic algorithm, which is metaheuristics method. Although the techniques shown in the existing studies give the average energy consumption as a result of the performance improvement by the spreading factor allocation, the presented technique can enhance the LoRaWAN performance by allocating the spreading factor to EDs under the constraint for the average energy consumption of all the EDs. Numerical examples validate the effectiveness of the presented technique. The PRP performance of the presented technique is superior to that of the techniques shown in the existing studies despite that the average energy consumption of all the EDs of the presented technique is less than that of the techniques shown in the existing studies.
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Huzaifa, Muhammad, Arif Hussain, Waseem Haider, Syed Ali Abbas Kazmi, Usman Ahmad e Habib Ur Rehman. "Optimal Planning Approaches under Various Seasonal Variations across an Active Distribution Grid Encapsulating Large-Scale Electrical Vehicle Fleets and Renewable Generation". Sustainability 15, n. 9 (3 maggio 2023): 7499. http://dx.doi.org/10.3390/su15097499.

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With the emergence of the smart grid, the distribution network is facing various problems, such as power limitations, voltage uncertainty, and many others. Apart from the power sector, the growth of electric vehicles (EVs) is leading to a rising power demand. These problems can potentially lead to blackouts. This paper presents three meta-heuristic techniques: grey wolf optimization (GWO), whale optimization algorithm (WOA), and dandelion optimizer (DO) for optimal allocation (sitting and sizing) of solar photovoltaic (SPV), wind turbine generation (WTG), and electric vehicle charging stations (EVCSs). The aim of implementing these techniques is to optimize allocation of renewable energy distributed generation (RE-DG) for reducing active power losses, reactive power losses, and total voltage deviation, and to improve the voltage stability index in radial distribution networks (RDNs). MATLAB 2022a was used for the simulation of meta-heuristic techniques. The proposed techniques were implemented on IEEE 33-bus RDN for optimal allocation of RE-DGs and EVCSs while considering seasonal variations and uncertainty modeling. The results validate the efficiency of meta-heuristic techniques with a substantial reduction in active power loss, reactive power loss, and an improvement in the voltage profile with optimal allocation across all considered scenarios.
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Almashhadani, Yazen S., e Ghassan A. QasMarrogy. "Dynamic Power Allocation for Downlink NOMA". Cihan University-Erbil Scientific Journal 8, n. 1 (30 giugno 2024): 85–90. http://dx.doi.org/10.24086/cuesj.v8n1y2024.pp85-90.

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Dynamic Power Allocation for Downlink Non-Orthogonal Multiple Access (NOMA) is a critical research area in wireless communication systems. This study focuses on implementing and evaluating dynamic power allocation strategies in the context of downlink NOMA. We compare the performance of dynamic power allocation with fixed power allocation schemes to assess their impact on system throughput, interference management, and overall efficiency. Through extensive simulations and analysis in this paper using MATLAB, we demonstrate a comparison between dynamic power allocation and fixed power allocation, and the advantages of dynamic power allocation in adapting to changing channel conditions and user requirements, leading to improved system performance. Our results show the data rate and outage probability which provides valuable insights into the benefits of dynamic power allocation in downlink NOMA systems and highlight the importance of adaptive power management techniques in enhancing wireless communication networks.
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Liu, Yongfei, Lu Si, Yuhuan Wang, Bo Zhang e Weizhang Xu. "Efficient Precoding and Power Allocation Techniques for Maximizing Spectral Efficiency in Beamspace MIMO-NOMA Systems". Sensors 23, n. 18 (20 settembre 2023): 7996. http://dx.doi.org/10.3390/s23187996.

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Beamspace MIMO-NOMA is an effective way to improve spectral efficiency. This paper focuses on a downlink non-orthogonal multiple access (NOMA) transmission scheme for a beamspace multiple-input multiple-output (MIMO) system. To increase the sum rate, we jointly optimize precoding and power allocation, which presents a non-convex problem. To solve this difficulty, we employ an alternating algorithm to optimize the precoding and power allocation. Regarding the precoding subproblem, we demonstrate that the original optimization problem can be transformed into an unconstrained optimization problem. Drawing inspiration from fraction programming (FP), we reconstruct the problem and derive a closed-form expression of the optimization variable. In addition, we effectively reduce the complexity of precoding by utilizing Neumann series expansion (NSE). For the power allocation subproblem, we adopt a dynamic power allocation scheme that considers both the intra-beam power optimization and the inter-beam power optimization. Simulation results show that the energy efficiency of the proposed beamspace MIMO-NOMA is significantly better than other conventional schemes.
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Manzoor, Muhammad Faraz, Adnan Abid, Muhammad Shoaib Farooq, Naeem A. Azam e Uzma Farooq. "Resource Allocation Techniques in Cloud Computing: A Review and Future Directions". Elektronika ir Elektrotechnika 26, n. 6 (18 dicembre 2020): 40–51. http://dx.doi.org/10.5755/j01.eie.26.6.25865.

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Cloud computing has become a very important computing model to process data and execute computationally concentrated applications in pay-per-use method. Resource allocation is a process in which the resources are allocated to consumers by cloud providers based on their flexible requirements. As the data is expanding every day, allocating resources efficiently according to the consumer demand has also become very important, keeping Service Level Agreement (SLA) between service providers and consumers in prospect. This task of resource allocation becomes more challenging due to finite available resources and increasing consumer demands. Therefore, many unique models and techniques have been proposed to allocate resources efficiently. In the light of the uniqueness of the models and techniques, the main aim of the resource allocation is to limit the overhead/expenses associated with it. This research aims to present a comprehensive, structured literature review on different aspects of resource allocation in cloud computing, including strategic, target resources, optimization, scheduling and power. More than 50 articles, between year 2007 and 2019, related to resource allocation in cloud computing have been shortlisted through a structured mechanism and they are reviewed under clearly defined objectives. It presents a topical taxonomy of resource allocation dimensions, and articles under each category are discussed and analysed. Lastly, salient future directions in this area are discussed.
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Lal, Mrs Jaya Dipti, e Dr Dolly Thankachan. "Comparison of Various Techniques with PSO based Power Allocation Strategy in Cooperative Wireless Networks". International Journal for Research in Applied Science and Engineering Technology 10, n. 2 (28 febbraio 2022): 469–75. http://dx.doi.org/10.22214/ijraset.2022.40264.

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Abstract: Now a days, wireless communication using co-operative networks have attracted many attentions due to its suitability of working in different environments with acceptable performances. During the transmission, a major requirement of optimal power allocation strategy is observed and this is the major concern of many researchers. This power allocation technique requires a suitable optimization algorithm while selecting the power allocation factor for power assignment. In the paper various optimization strategies are compared with proposed particle swarm optimization technique. A cooperative communication frame work is used with amplify and forward as relaying technique. The proposed algorithm using the tech-nique is simulated and the comparison results are obtained. Simulation results when compared outperformed with other previous works. Keywords: Cooperative networks; optimal power alloca-tion; Amplify and forward relaying; Particle Swarm Opti-mization (PSO).
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Mohammed Hassan, Ahmed Hassan, e Ahmed M.Alhassan. "Cooperative Communications Combination Diversity Techniques And Optimal Power Allocation Expression". International Journal of Applied Control, Electrical and Electronics Engineering 3, n. 4 (30 novembre 2015): 1–11. http://dx.doi.org/10.5121/ijaceee.2015.3401.

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Più fonti

Tesi sul tema "Power allocation techniques"

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Zhao, Lei. "Beamforming and power allocation techniques for multiuser MIMO broadcast channels". Nantes, 2014. http://archive.bu.univ-nantes.fr/pollux/show.action?id=df1c0c06-0a3b-4813-a80d-cd2dce9e326b.

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La maximisation du débit des transmissions en canaux de diffusion multi-utilisateurs MIMO est étudiée dans cette thèse. Tout d'abord, nous donnons un aperçu de l'état de l'art des techniques de la littérature, et proposons une nouvelle méthode de formation de voies sous contrainte de puissance totale. Ensuite, considérant que la puissance de chaque antenne à l’émission est limitée par la linéarité de son amplificateur de puissance, nous imposons une contrainte plus réaliste et formulons une optimisation du débit avec une contrainte de puissance par antenne. Dans cette thèse, ce problème initial difficile à résoudre est alors divisé en deux sous-problèmes classiques, dont l'un est un problème d’optimisation SDP (semidefinite programming), et l’autre se résout par la technique MRC (maximal-ratio-combining). Par comparaison avec les méthodes de la littérature, la technique proposée permet une augmentation du débit global. De plus, la méthode proposée s’applique aussi dans le cas où le nombre total d'antennes de réception est plus grand que le nombre d’antennes à l'émission. Enfin, si l'interférence n'est pas complètement supprimée entre les canaux de diffusion multi-utilisateurs MIMO, l’allocation de la puissance parmi les canaux devient un problème NP difficile. Dans ce contexte, une nouvelle technique d’allocation de puissance efficace en temps de calcul pour l’optimisation du débit global est proposée. En comparaison avec les méthodes de la littérature, la complexité de calcul est significativement réduite, et le débit obtenu reste proche de la valeur optimale
The sum rate maximization in multiuser MIMO broadcast channels is investigated in this thesis. Firstly, we give an overview of the state of the art of the different beamforming techniques in the literature, and a new beamforming method under total power constraint is proposed. Secondly, considering that the power of each antenna is limited individually by the linearity of its power amplifier in practice, we impose a more realistic per-antenna power constraint to optimize the sum rate. It can be seen that the original problem is difficult to solve. Then in this thesis, this problem is divided into two classical subproblems, one of which becomes a semidefinite programming (SDP) problem, and the other one can be solved by the maximal-ratio combining (MRC) technique. Compared with the methods in the literature, a better sum rate performance is achieved. Moreover, the proposed method works even if the number of total receive antennas is larger than that of the transmit antennas. Thirdly, if the interference is not removed completely in multiuser MIMO broadcast channels, power allocation becomes a NP hard problem. In this thesis, an efficient suboptimal power allocation method is proposed to maximize the sum rate. Compared with the methods in the literature, the computational complexity is substantially reduced, and the performance is close to the optimal value
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Levy, Renato. "Optimization Techniques for Energy-Aware Memory Allocation in Embedded Systems". Diss., Computer Science, George Washington University, 2004. http://hdl.handle.net/1961/116.

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Degree awarded (2004): DScCS, Computer Science, George Washington University
A common practice to save power and energy in embedded systems is to "put to sleep" or disable parts of the hardware. The memory system consumes a significant portion of the energy budget of the overall system, so it is a natural target for energy optimization techniques. The principle of software locality makes the memory subsystem an even better choice, since all memory blocks but the ones immediately required can be disabled at any given time. This opportunity is the motivation for developing energy optimization techniques to dynamically and selectively control the power state of the different parts of the memory system. This dissertation develops a set of algorithms and techniques that can be organized into a hardware/software co-development tool to help designers apply the selective powering of memory blocks to minimize energy consumption. In data driven embedded systems, most of the data memory is used either by global static variables or by dynamic variables. Although techniques already exist for energy-aware allocation of global static arrays under certain constraints, very little work has focused on dynamic variables, which are actually more important to event driven/data driven embedded systems than their static counterparts. This dissertation addresses this gap, and extends and consolidates previous allocation techniques in a unique framework. A formal model for memory energy optimization for dynamic and global static variables and efficient algorithms for energy aware allocation of variables to memory are presented. Dependencies between generic code and data are uncovered, and this information is exploited to fine-tune a system. A framework is presented for retrieving this profile information which is then used to design energy aware allocation algorithms for dynamic variables, including heuristics for segmentation and control of the memory heap. By working at the assembly code level, these techniques can be integrated into any compiler regardless of the source language. The proposed techniques were implemented and tested against data intensive benchmarks, and experimental results indicate significant savings of up to 50% in the memory system energy consumption.
Advisory Committee: Professor Bhagirath Narahari, Professor Hyoeong-Ah Choi (Chair), Professor Rahul Simha, Professor Shmuel Rotenstreich, Professor Can E. Korman, Dr. Yul Williams
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Hojeij, Marie Rita. "Resource allocation techniques for non-orthogonal multiple access systems". Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2018. http://www.theses.fr/2018IMTA0085/document.

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Avec l’émergence rapide des applications Internet, il est prévu que le trafic mobile mondial augmente de huit fois entre fin 2018 et 2022. En même temps, les futurs systèmes de communication se devront aussi d’améliorer l'efficacité spectrale des transmissions, le temps de latence et l’équité entre utilisateurs. À cette fin, une technique d’accès multiple non orthogonal (NOMA) a été récemment proposée comme un candidat prometteur pour les futurs accès radio. La technique NOMA est basée sur un nouveau domaine de multiplexage, le domaine des puissances. Elle permet la cohabitation de deux ou plusieurs utilisateurs par sous-porteuse ou sous-bande de fréquence. Cette thèse aborde plusieurs problèmes liés à l’allocation de ressources basée sur NOMA afin d'améliorer les performances du réseau en termes d'efficacité spectrale, de débit et/ou d’équité entre utilisateurs. Dans ce sens, des solutions théoriques et algorithmiques sont proposées et des résultats numériques sont obtenus afin de valider les solutions et de vérifier la capacité des algorithmes proposés à atteindre des performances optimales ou sous-optimales. Après une étude bibliographique des différentes techniques d’allocation de ressources présentée dans le premier chapitre, on propose dans le deuxième chapitre plusieurs stratégies d’allocation de ressource où une réduction de la bande utilisée par les utilisateurs est ciblée. Les résultats de simulation montrent que les stratégies proposées améliorent à la fois l’efficacité spectrale et le débit total des utilisateurs par rapport aux systèmes basés uniquement sur des techniques d’accès orthogonales. Quant au troisième chapitre, il étudie la performance du Proportional Fairness (PF) Scheduler tout en considérant que la bande passante est disponible en totalité. Dans ce sens, plusieurs améliorations basées sur le PF sont proposées, qui offrent au système NOMA des avantages en termes de débit, d’équité entre utilisateurs et de qualité de service. Dans le quatrième chapitre, nous proposons plusieurs techniques d’allocation de ressources qui donnent aux utilisateurs la possibilité de favoriser le débit par rapport à l’équité entre utilisateurs et vice versa. Dans le dernier chapitre, différentes techniques permettant une transmission hybride broadcast/broadband sur la même bande de fréquence sont proposées et comparées à l’état de l’art
With the proliferation of Internet applications, between the end of 2016 and 2022, total mobile traffic is expected to increase by 8 times. At the same time, communications networks are required to further enhance system efficiency, latency, and user fairness. To this end, non-orthogonal multiple access (NOMA) has recently emerged as a promising candidate for future radio access. By exploiting an additional multiplexing domain, the power domain, NOMA allows the cohabitation of two or more users per subcarrier, based on the principle of signal superposition. This dissertation addresses several radio resource allocation problems in mobile communication systems, in order to improve network performance in terms of spectral efficiency, through put, or fairness. Theoretical analysis and algorithmic solutions are derived. Numerical results are obtained to validate our theoretical findings and demonstrate the algorithms ability of attaining optimal or sub-optimal solutions. To this direction, the second chapter of this thesis investigates several new strategies for the allocation of radio resources (bandwidth and transmission power) using NOMA principle, where the minimization of the total amount of used bandwidth is targeted. Extensive simulation results show that the proposed strategies for resource allocation can improve both the spectral efficiency and the cell-edge user throughput, especially when compared to schemes employing only orthogonal signaling. A context where the total bandwidth is available has also been studied, in the 3rd chapter where we investigate the performance of the proportional fairness (PF) scheduler, and we propose modifications to it, at the level of user scheduling and power allocation that show to improve the system capacity, user fairness and QoS. In the 4th chapter, we proposed new pairing metrics that allow to favor the fairness at the expense of the throughput and vice versa. The proposed metrics show enhancements at the level of system capacity, user fairness, and computational complexity. Different techniques that allow a hybrid broadcast/multicast transmission on the same frequency platform are proposed in the last chapter and compared to the state of the art
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Ilmiawan, Shubhi. "Performance Enhancement of MIMO Transmission Techniques with Limited Number of Receive Antennas". Kyoto University, 2017. http://hdl.handle.net/2433/227664.

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Stefopoulos, Georgios Konstantinos. "Quadratic power system modeling and simulation with application to voltage recovery and optimal allocation of VAr support". Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29695.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2010.
Committee Chair: Meliopoulos, A. P. Sakis; Committee Member: Deng, Shijie; Committee Member: Divan, Deepakraj; Committee Member: Harley, Ronald; Committee Member: Taylor, David. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Badran, Ibrahim Hesham Sadat. "Enhancement of Optical Wireless Communications Using Hybrid and Multiple Access Techniques". Electronic Thesis or Diss., Brest, École nationale supérieure de techniques avancées Bretagne, 2024. http://www.theses.fr/2024ENTA0010.

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La communication par lumière visible (VLC) est une technologie prometteuse pour la connectivité sans fil en intérieur, offrant une transmission de données à haute vitesse tout en atténuant la congestion du spectre. Cette thèse explore l’intégration de l’accès multiple nonorthogonal (NOMA) et des techniques à entrées multiples et sorties multiples (MIMO) pour améliorer l’efficacité des systèmes VLC. Nous examinons différentes techniques d’allocation de puissance, notamment l’allocation de puissance fixe (FPA), selon le ratio de gain (GRPA) et selon la différence de gain normalisée (NGDPA), afin d’optimiser la répartition des ressources entre les utilisateurs. Divers algorithmes de couplage d’utilisateurs, tels que l’algorithme de couplage à différence la plus proche (NLUPA) et celui de la différence de gain uniforme (UCGD), sont également étudiés. Le débit total réalisable dans des scénarios avec un nombre pair et impair d’utilisateurs est évalué et comparé aux performances du NOMA sans couplage et de l’OFDMA. De plus, l’analyse du taux d’erreur binaire (BER) est réalisée sous différentes techniques de diversité (SC, EGC, MRC). Nous dérivons également une expression analytique du BER pour un nombre arbitraire d’utilisateurs, fournissant des informations précieuses sur les performances des systèmes NOMA-MIMO-VLC
Visible light communication (VLC) is a promising technology for indoor wireless connectivity, offering high-speed data transmission and alleviating spectrum congestion. This thesis explores the integration of non-orthogonal multiple access (NOMA) and multiple-input multiple-output (MIMO) techniques to improve VLC system efficiency. We investigate various power allocation techniques, including fixed power allocation (FPA), gain ratio power allocation (GRPA), and normalized gain difference power allocation (NGDPA), to enhance resource distribution among users. Different user pairing algorithms, such as next-largest difference user-pairing algorithm (NLUPA) and uniform channel gain difference (UCGD), are also examined. The achievable sum rate for NOMAMIMO-VLC systems is analyzed in scenarios with even and odd user numbers, and results are compared with NOMA without pairing and orthogonal frequency division multiple access (OFDMA). Furthermore, we assess the bit error rate (BER) performance under diversity techniques, such as selection combining (SC), equal gain combining (EGC), and maximum ratio combining (MRC). Finally, we derive an analytic expression for BER for an arbitrary number of users. Overall, our comprehensive study provides valuable insights into NOMA-MIMO-VLC systems for indoor wireless communication
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Marange, Chioneso Show. "Maximization of power in randomized clinical trials using the minimization treatment allocation technique". Thesis, University of Fort Hare, 2010. http://hdl.handle.net/10353/399.

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Generally the primary goal of randomized clinical trials (RCT) is to make comparisons among two or more treatments hence clinical investigators require the most appropriate treatment allocation procedure to yield reliable results regardless of whether the ultimate data suggest a clinically important difference between the treatments being studied. Although recommended by many researchers, the utilization of minimization has been seldom reported in randomized trials mainly because of the controversy surrounding the statistical efficiency in detecting treatment effect and its complexity in implementation. Methods: A SAS simulation code was designed for allocating patients into two different treatment groups. Categorical prognostic factors were used together with multi-level response variables and demonstration of how simulation of data can help to determine the power of the minimization technique was carried out using ordinal logistic regression models. Results: Several scenarios were simulated in this study. Within the selected scenarios, increasing the sample size significantly increased the power of detecting the treatment effect. This was contrary to the case when the probability of allocation was decreased. Power did not change when the probability of allocation given that the treatment groups are balanced was increased. The probability of allocation { } k P was seen to be the only one with a significant effect on treatment balance. Conclusion: Maximum power can be achieved with a sample of size 300 although a small sample of size 200 can be adequate to attain at least 80% power. In order to have maximum power, the probability of allocation should be fixed at 0.75 and set to 0.5 if the treatment groups are equally balanced.
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Colen, Guilherme Ribeiro. "Resource allocation and time-frequency modulation for power line communication". Universidade Federal de Juiz de Fora, 2016. https://repositorio.ufjf.br/jspui/handle/ufjf/2268.

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Esta tese concentra-se na redução da complexidade computacional e na necessidade de largura de banda associada com a utilização de técnicas de alocação de recursos em sistemas de comuniação via rede elétrica (power line communication – PLC) com base no esquema de multiplexação por divisão ortogonal na frequência (orthogonal frequency division multiplexing – OFDM). Neste contexto, é introduzida a técnica sub-ótima chamada de temporal compressive resource allocation (TCRA). Esta técnica é capaz de explorar a relação existente entre microslots (exploração no domínio do tempo) para reduzir o número de vezes por segundo que alocação de recursos é executada. Além disso, é proposto um novo parâmetro, denominado de banda de coerência da relação sinal ruído normalizada (normalized signal to noise ratio – nSNR) para informar precisamente a planicidade da nSNR. A eficácia deste parâmetro é comparada com a banda de coerência. Diante disto, sua modelagem estatística para ambientes in-home, outdoor de baixa tensão e PLC-wireless é apresentada considerando distribuições de componentes individuais e misturas de Gaussianas. Com base na definição da banda de coerência da nSNR, é descrita a técnica sub-ótima denominada spectral compressive resource allocation (SCRA). Ela explora a relação existente entre os sub-canais adjacentes (exploração no domínio da frequência) para reduzir a dimensão do vector de nSNR, que é a principal informação de entrada para a técnicas de alocação de recursos. Com base no fato de que a geometria de tiles associadas com a transformada de Fourier discreta limita os ganhos associados com o uso da técnica SCRA em conjunto com o esquema OFDM, é introduzido pela primeira vez o esquema chamado multiplexação por divisão ortogonal no tempo-frequência (orthogonal time-frequency division multiplexing – OTFDM). Este esquema se baseia na transformada ortogonal de Stockwell discreta para oferecer diferentes geometrias de tiles e funciona tanto para comunicação de dados em banda de base quanto em banda passante. Os resultados numéricos baseados em canais PLC medidos e no uso de protótipo de transceptores PLC mostram que as técnicas TCRA e SCRA podem trocar redução de complexidade computacional por perda de taxa de transmissão e que economia de complexidade computacional relevante pode ser realizada com baixas perdas na taxa de transmissão. Ademais, os resultados numéricos mostram que o esquema OTFDM pode ser superado pelo esquema de OFDM se a informação de estado de canal não está disponível no lado do transmissor. No entanto, a disponibilidade de tais informações no lado do transmissor permite a utilização do esquema OTFDM em conjunto com a técnica SCRA atingir uma melhoria notável em comparação com o esquema OFDM trabalhando com a técnica SCRA.
This dissertation focuses on the computational complexity reduction and on the need for network bandwidth associated with the use of resource allocation techniques in power line communication (PLC) system based on orthogonal frequency division multiplexing (OFDM) scheme. In this context, the so-called temporal compressive resource allocation (TCRA) technique, which is a sub-optimal technique, is introduced. The TCRA is capable of exploiting the existing relationship among microslots (time domain exploitation) to reduce the number of times per second the resource allocation technique is executed. Also, a noval parameter, called nSNR coherence bandwidth, that precisely informs the flatness of the normalized signal to noise ratio (nSNR) is proposed. The effectiveness of this parameter is compared to the coherence bandwidth. Also, its statistical modeling for in-home, outdoor and low-voltage, and hybrid PLC-wireless channels with single-component and Gaussian mixture distributions is presented. Based on the nSNR coherence bandwidth definition, the spectral compressive resource allocation (SCRA) technique, which is a suboptimal technique, is outlined. The SCRA technique exploits the existing relationship among adjacent subchannels (frequency domain exploitation) to reduce the dimensionality of the nSNR vector, which is the main feeding information for the resource allocation technique. Based on the fact that the geometry of the tiles associated with the discrete Fourier transform limits the gains associated with the use of the SCRA together with the OFDM scheme, the so-called orthogonal time-frequency division multiplexing (OTFDM) scheme is, for the first time, introduced. The OTDFM scheme, which is based on the discrete orthogonal Stockwell transform, offers different tile geometries and works in both baseband and passband data communications. Numerical results based on measured PLC channels and the use of prototype of PLC transceivers show that TCRA and SCRA techniques can trade computational complexity reduction with data rate loss and relevant computational complexity savings may be accomplished with low data rate losses. Moreover, the numerical results show that the OTFDM scheme may be outperformed by the OFDM scheme if channel state information is not available at the transmitter side; however, the availability of such information at the transmitter side allow the use of the OTFDM scheme together with the SCRAs achieve remarkable improvement in comparison with OFDM scheme working with the SCRA technique.
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Bagayoko, Abdoulaye. "Partage du spectre radiofréquence sous contraintes d'interférences". Thesis, Cergy-Pontoise, 2010. http://www.theses.fr/2010CERG0500.

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Abstract (sommario):
Le spectre électromagnétique est une ressource naturelle dont l'usage doit être optimisé. Un grand nombre de travaux actuels visent à améliorer l'utilisation des fréquences radio en y introduisant un degré de flexibilité rendu possible par l'agilité en forme d'onde et en fréquence permise par la radio logicielle (SDR), ainsi que par les méthodes de traitement intelligent du signal (radio cognitive). Cette thèse se place dans ce contexte. Concrètement, nous considérons le problème de partage du spectre électromagnétique entre plusieurs utilisateurs sous contraintes d'interférence mutuelle. Notre objectif est de contribuer à l'évaluation du gain du partage de cette ressource rare qu'est le spectre électromagnétique. En étudiant le canal gaussien d'interférence avec l'interférence traitée comme du bruit additif gaussien aux différents récepteurs, nous avons trouvé une description géométrique et plusieurs caractérisations de la région des débits atteignables. Ensuite, considérant un cas plus réaliste où chaque utilisateur a une certaine qualité de service, nous avons trouvé une condition nécessaire et suffisante pour permettre la communication simultanée à travers le canal gaussien d'interférence pour deux utilisateurs. Dans un scénario de partage entre un utilisateur primaire ayant une plus grande priorité d'accès au spectre et un utilisateur secondaire, après avoir déterminé des bornes minimales pour le débit du primaire en fonction du schéma d'allocation de puissance de l'utilisateur secondaire, nous avons proposé une technique originale d'allocation de puissance pour l'utilisateur secondaire accédant de manière opportuniste au spectre sous contraintes de performance de coupure pour tous les utilisateurs. En particulier, cette technique d'allocation de puissance n'utilise que l'information sur l'état des canaux des liens directs allant de l'émetteur secondaire vers les autres points du réseau. Finalement, considérant des modèles de canaux plus réalistes; après avoir montré l'existence d'une zone d'exclusion autour du récepteur primaire (zone où il n'y a aucun transmetteur secondaire, dans le but de protéger l'utilisateur primaire contre les fortes interférences), nous avons caractérisé l'effet du shadowing et du path-loss sur cette zone d'exclusion du primaire
In this thesis, we address the problem of spectrum-sharing for wireless communication where multiple users attempt to access a common spectrum resource under mutual interference constraints. Our objective is to evaluate the gains of sharing by investigating different scenarios of spectrum access. Studying the Gaussian Interference Channel with interferences considered as noise, we found a geometrical description and several characteristics of the achievable rate region. Considering a more realistic scenario, with each user having a certain QoS, we found necessary and sufficient condition to be fulfilled for simultaneous communication over the two-user Gaussian Interference Channel. Furthermore, we proposed two lower bounds for a single-primary-user mean rate, depending on the secondary user power control scheme. Specially, we investigated an original power control policy, for a secondary user, under outage performance requirement for both users and partial knowledge of the channel state information. Finally, considering a spectrums-haring with a licensee or primary user and several secondary or cognitive users, we showed the existence of an exclusive region around the primary receiver and we characterized the effects of shadowing and path-loss on this exclusive region (or no-talk zone)
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Ghose, Sarbani. "Power allocation, relay selection & cooperative techniques for physical layer security in relayed communication systems". Thesis, 2017. http://localhost:8080/xmlui/handle/12345678/7277.

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Capitoli di libri sul tema "Power allocation techniques"

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Ngene, C. E., Prabhat Thakur e Ghanshyam Singh. "Power Allocation Techniques for Visible Light". In Enabling Technologies for Next Generation Wireless Communications, 45–78. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, LLC, 2021. | Series: Artificial intelligence (AI). Elementary to advanced practices: CRC Press, 2020. http://dx.doi.org/10.1201/9781003003472-5.

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Liu, Zuoliang, e Shanxue Chen. "Joint Transmit Power Allocation and Power Splitting for SWIPT System with Time Reversal". In Simulation Tools and Techniques, 427–36. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32216-8_41.

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Huang, Yongming, Jiaheng Wang e Jianyue Zhu. "Optimal Power Allocation for Downlink NOMA Systems". In Multiple Access Techniques for 5G Wireless Networks and Beyond, 195–227. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92090-0_6.

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Hota, Ambika Prasad, Sivkumar Mishra e Debani Prasad Mishra. "Loss Allocation Techniques in Active Power Distribution Systems". In Intelligent Technologies: Concepts, Applications, and Future Directions, Volume 2, 95–122. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1482-1_5.

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Jeong, Hyungi, e Wanying Guo. "D2D Resource Allocation for Joint Power Control in Heterogeneous Cellular Networks". In Meta Heuristic Techniques in Software Engineering and Its Applications, 326–37. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11713-8_33.

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Manikandan, C., S. Rakesh Kumar, Kopparthi Nikhith, M. Sai Gayathri e P. Neelamegam. "Chaotic Map Based Key Generation and Realistic Power Allocation Technique for Secure MU-MIMO Wireless System". In Applications and Techniques in Information Security, 142–55. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0871-4_11.

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Yang, Xian. "Spectrum Allocation Technology of Elastic Optical Networks Based on Power Business Perception". In 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems, 555–62. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1726-3_68.

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Maimaiti, Saidiwaerdi. "A Survey of Beam and Power Allocation Techniques for Multiuser Massive MIMO System". In Lecture Notes in Electrical Engineering, 338–44. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2757-5_36.

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Srinivasa Rao, D., Ch Rajasekhar e GBSR Naidu. "Performance Comparison of QoS Aware Power Allocation and Optimization Techniques for the Small-Cell 5G Networks". In Communications in Computer and Information Science, 17–28. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64064-3_2.

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Zhang, Xiuyan, e Guobin Tao. "The Research of Adaptive Modulation Technology in OFDM System". In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 739–48. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_74.

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AbstractOrthogonal frequency division multiplexing (OFDM) as a special multi-carrier transmission technology has good resistance to narrow-band interference and frequency selective fading ability. Compared with traditional modulation techniques, adaptive modulation can enhance bandwidth efficiency and system capacity. Therefore, applying adaptive modulation in OFDM systems can take full advantage of spectrum resources, and it is suitable for the high-speed and reliable mobile communication systems in the future. The purpose of this paper is to improve traditional OFDM adaptive algorithms (Hughes-Hartogs, Chow) to realize bits allocation, power allocation better. In this paper, simulation results demonstrated that the improved Levin-Campello algorithm lowers algorithm’s complexity greatly and owns better flexibility, at the same time, it guarantees good the bit error rate (BER) performance and can be applied to speech communication (fixed rate) and data communication (variable rate) in wireless communication systems.
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Atti di convegni sul tema "Power allocation techniques"

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Rout, Kamalesh Chandra, e Saumitri Balvadra Prasad. "Optimal Allocation of DG in Power System: Leveraging Network Flow Optimization Techniques such as GA, FA and ALO". In 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/icspcre62303.2024.10675138.

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Titi, Nesrine, Sofiane Haddad, Ammar Soukkou, Fouad Aknouche e Houssem Eddine Djema. "Power Allocation Optimization Using Water-Filling Technique for MIMO-NOMA-Based Visible Light Communication Systems". In 2024 International Conference on Advances in Electrical and Communication Technologies (ICAECOT), 1–6. IEEE, 2024. https://doi.org/10.1109/icaecot62402.2024.10829012.

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Hamid, Z., I. Musirin, M. M. Othman e M. N. A. Rahim. "Comparative studies between various power tracing techniques for reactive power allocation". In 2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE). IEEE, 2011. http://dx.doi.org/10.1109/iccaie.2011.6162112.

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Miliotis, V., A. Apostolaras, T. Korakis, Z. Tao e L. Tassiulas. "New channel allocation techniques for power efficient WiFi networks". In 2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications Workshops (PIMRC Workshops). IEEE, 2010. http://dx.doi.org/10.1109/pimrcw.2010.5670392.

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Cheng, Wei-Chung, e Massoud Pedram. "Low power techniques for address encoding and memory allocation". In the 2001 conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/370155.370334.

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Wang, Dan, Xunwei Zhao, Zhigang Wang, Haixuan Fu, Jie Bai, Guofeng Zhao, Lingzhi Zhang, Shuang Fang e Rining Wang. "Research on RAN Slicing Resource Allocation Techniques for Power Applications". In 2023 3rd International Conference on Communication Technology and Information Technology (ICCTIT). IEEE, 2023. http://dx.doi.org/10.1109/icctit60726.2023.10435810.

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Gvozdarev, Aleksey S., e Tatiana K. Artemova. "Correlation Matrix Bordering for Optimal Massive MIMO Power Allocation Algorithms". In 2020 IEEE Microwave Theory and Techniques in Wireless Communications (MTTW). IEEE, 2020. http://dx.doi.org/10.1109/mttw51045.2020.9245040.

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Al-Bakry, Sarmad Hussein Hanoon, e Waleed Khalid Shakir Al-Jubori. "Optimal allocation of distributed generation for hybrid power system restoration". In THE FIFTH SCIENTIFIC CONFERENCE FOR ELECTRICAL ENGINEERING TECHNIQUES RESEARCH (EETR2024), 050021. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0236241.

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Abdulkhaleq, Ayat Saad, e Waleed Khalid Shakir Al-Jubori. "Optimal allocation of distributed generation for hybrid optimal power flow". In THE FIFTH SCIENTIFIC CONFERENCE FOR ELECTRICAL ENGINEERING TECHNIQUES RESEARCH (EETR2024), 050038. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0236212.

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Glei, Naziha, e Rhaimi Belgacem Chibani. "Power Allocation for Energy-Efficient Downlink NOMA Systems". In 2019 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). IEEE, 2019. http://dx.doi.org/10.1109/sta.2019.8717240.

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